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Poster
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Wed 9:00
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Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective
Rongzhe Wei · Haoteng YIN · Junteng Jia · Austin Benson · Pan Li
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Poster
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Tue 14:00
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VaiPhy: a Variational Inference Based Algorithm for Phylogeny
Hazal Koptagel · Oskar Kviman · Harald Melin · Negar Safinianaini · Jens Lagergren
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Poster
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Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks
Xingsi Dong · Zilong Ji · Tianhao Chu · Tiejun Huang · Wenhao Zhang · Si Wu
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Poster
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Tue 14:00
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Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation
Arnaud Delaunoy · Joeri Hermans · François Rozet · Antoine Wehenkel · Gilles Louppe
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Poster
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Tue 9:00
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Truncated proposals for scalable and hassle-free simulation-based inference
Michael Deistler · Pedro Goncalves · Jakob H Macke
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Workshop
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Gaussian Process Thompson sampling for Bayesian optimization of dynamic masking-based language model pre-training
Iñigo Urteaga · Moulay Zaidane Draidia · Tomer Lancewicki · Shahram Khadivi
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Poster
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Wed 9:00
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Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Haotian Fu · Shangqun Yu · Michael Littman · George Konidaris
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Poster
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Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization
Lei Song · Ke Xue · Xiaobin Huang · Chao Qian
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Poster
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Tue 9:00
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Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search
YAO SHU · Zhongxiang Dai · Zhaoxuan Wu · Bryan Kian Hsiang Low
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Poster
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Tue 9:00
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Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
Chenyang Wu · Tianci Li · Zongzhang Zhang · Yang Yu
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Poster
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Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
Kaiyang Guo · Shao Yunfeng · Yanhui Geng
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Workshop
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Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors
Tom Savage · Nausheen Basha · Omar Matar · Antonio del Rio Chanona
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